Skip to main navigation Skip to search Skip to main content

Linear output regulation of heterogeneous networked systems based on distributed adaptive dynamic state feedback

  • Shaobao Li*
  • , Gang Feng*
  • , Juan Wang
  • , Xiaoyuan Luo
  • , Xinping Guan
  • *Corresponding author for this work

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    This paper investigates the linear output regulation problem of heterogeneous networked systems with an aim to make all nodes track the exosystem cooperatively. Firstly, by fully using the interactions between the nodes, a distributed adaptive control law based on full information feedback is designed. Then, considering that the exosystem-accessible nodes can be controlled by static state feedback conveniently, we present a distributed control law with only partial nodes controlled by adaptive dynamic state feedback. Different from some existing works, the feedback gains of the proposed control laws in this paper are independent of the Laplacian matrices of the system topologies, which is of global nature. It has been shown that the linear output regulation problem of heterogeneous networked systems can be solved with both proposed control laws. At last, two numerical examples are provided to demonstrate the effectiveness of the proposed distributed control laws. © 2012 IEEE.
    Original languageEnglish
    Title of host publication2012 IEEE International Conference on Information and Automation, ICIA 2012
    Pages265-270
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE International Conference on Information and Automation (ICIA 2012) - Shenyang, China
    Duration: 6 Jun 20128 Jun 2012

    Conference

    Conference2012 IEEE International Conference on Information and Automation (ICIA 2012)
    PlaceChina
    CityShenyang
    Period6/06/128/06/12

    Fingerprint

    Dive into the research topics of 'Linear output regulation of heterogeneous networked systems based on distributed adaptive dynamic state feedback'. Together they form a unique fingerprint.

    Cite this